On the (in) effectiveness of large language models for chinese text correction
Recently, the development and progress of Large Language Models (LLMs) have amazed
the entire Artificial Intelligence community. As an outstanding representative of LLMs and the …
the entire Artificial Intelligence community. As an outstanding representative of LLMs and the …
MESED: A multi-modal entity set expansion dataset with fine-grained semantic classes and hard negative entities
The Entity Set Expansion (ESE) task aims to expand a handful of seed entities with new
entities belonging to the same semantic class. Conventional ESE methods are based on …
entities belonging to the same semantic class. Conventional ESE methods are based on …
Grammargpt: Exploring open-source llms for native chinese grammatical error correction with supervised fine-tuning
Grammatical error correction aims to correct ungrammatical sentences automatically.
Recently, some work has demonstrated the excellent capabilities of closed-source Large …
Recently, some work has demonstrated the excellent capabilities of closed-source Large …
Lateval: An interactive llms evaluation benchmark with incomplete information from lateral thinking puzzles
With the continuous evolution and refinement of LLMs, they are endowed with impressive
logical reasoning or vertical thinking capabilities. But can they think out of the box? Do they …
logical reasoning or vertical thinking capabilities. But can they think out of the box? Do they …
CLEME: debiasing multi-reference evaluation for grammatical error correction
Evaluating the performance of Grammatical Error Correction (GEC) systems is a challenging
task due to its subjectivity. Designing an evaluation metric that is as objective as possible is …
task due to its subjectivity. Designing an evaluation metric that is as objective as possible is …
Correct Like Humans: Progressive Learning Framework for Chinese Text Error Correction
Abstract Chinese Text Error Correction (CTEC) aims to detect and correct errors in the input
text, which benefits human daily life and various downstream tasks. Recent approaches …
text, which benefits human daily life and various downstream tasks. Recent approaches …
Gee! grammar error explanation with large language models
Grammatical error correction tools are effective at correcting grammatical errors in users'
input sentences but do not provide users with\textit {natural language} explanations about …
input sentences but do not provide users with\textit {natural language} explanations about …
When llms meet cunning questions: A fallacy understanding benchmark for large language models
Recently, Large Language Models (LLMs) have made remarkable evolutions in language
understanding and generation. Following this, various benchmarks for measuring all kinds …
understanding and generation. Following this, various benchmarks for measuring all kinds …
Towards real-world writing assistance: A chinese character checking benchmark with faked and misspelled characters
Writing assistance is an application closely related to human life and is also a fundamental
Natural Language Processing (NLP) research field. Its aim is to improve the correctness and …
Natural Language Processing (NLP) research field. Its aim is to improve the correctness and …
A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check
In recent years, Chinese Spelling Check (CSC) has been greatly improved by designing
task-specific pre-training methods or introducing auxiliary tasks, which mostly solve this task …
task-specific pre-training methods or introducing auxiliary tasks, which mostly solve this task …